Category Archives: surveillance

Neurocapitalism: Technological Mediation and Vanishing Lines

Open access book by Giorgio Griziotti is here. Technical book for you techies. The blurb:

“Technological change is ridden with conflicts, bifurcations and unexpected developments. Neurocapitalism takes us on an extraordinarily original journey through the effects that cutting-edge technology has on cultural, anthropological, socio-economic and political dynamics. Today, neurocapitalism shapes the technological production of the commons, transforming them into tools for commercialization, automatic control, and crisis management. But all is not lost: in highlighting the growing role of General Intellect’s autonomous and cooperative production through the development of the commons and alternative and antagonistic uses of new technologies, Giorgio Griziotti proposes new ideas for the organization of the multitudes of the new millennium.”

Your brain on AI-powered, immersive, virtual reality social networks

Kevin Kelly, the founder of Wired Magazine, forecasts virtual reality (VR) becoming our primary social environment within five years. VR experiences will be increasingly interactive (physically and socially). Our brains will process VR sensations as real.

The price of this novelty is all your data, historical and biometric, and with that will come more advertising than ever. What is the beginning of a new dimension of fun, will be the end of privacy.

AI more advanced than what keeps people addicted to current social media and search platforms will attract and keep social VR participants. How will personal and group cognition and behavior change when VR becomes more compelling than ‘legacy reality?’

See Kelly’s 5-minute talk at http://bigthink.com/videos/kevin-kelly-virtual-reality-engages-our-reptile-brain

Deep clustering machine learning enables AI to distinguish individual voices in a crowd

AI system can isolate individuals’ voices from other environmental noise, including other voices. Such a system has many potential uses, both benign and nefarious. The ability is rapidly improving to untangle signals from noise and identify which signals are from which sources. The approach should be able to apply to other kinds of signals too, not only sounds.

https://www.newscientist.com/article/2151268-an-ai-has-learned-how-to-pick-a-single-voice-out-of-a-crowd/